Image by johnstocker on Freepik   A while ago, I wrote a tutorial on writing efficient Python code. In it, I talked about using context managers and the with statement to manage resources efficiently. I used a simple file handling example to show how files are automatically closed when the execution exits the with…

Image by Author   You’re reading this because you’re thinking about joining the ranks of aspiring data scientists. And who can blame you? Data science is a growing field, even a decade after its now-infamous “sexiest job” accolade from the Harvard Business Review. The US Bureau of Labor Statistics currently predicts the employment rate…

Image Generated with DALL-E   In a time where data analytic processing is the critical difference between a successful business and not, we need a tool stack that could support the needs. The advancement of technology has helped advance all these data tools that we need, namely DuckDB and MotherDuck. DuckDB is an…

This week on KDnuggets: We cover what a generative AI developer does, what tools you need to master, and how to get started • An in-depth analysis of Python DataFrame library syntax, speed, and usability... which one is best? • And much, much more! Source link

Image by Freepik   As a data professional, you’ll use SQL all the time. But even if you know SQL, it can be helpful to have a quick reference to look up certain syntaxes and use cases. Here’s a collection of five super helpful SQL cheat sheets/references covering the following topics: SQL basics  Data…

Image by Author   I'm excited to share with you another degree program that is similar to the Computer Science Degree Program we discussed earlier. This program is offered by the Open Source Society University and is completely free. The ossu/data-science curriculum is designed for learners who are self-motivated and interested in exploring the…

Image generated with Segmind SSD-1B model   Skilled data professionals are continuing to be in high demand. So it’s a great time to break into data science. But how—and where—do you start?  Should you sign up for bootcamps, professional certificates, and graduate programs to learn data science? Yes, these are all good options. However,…

Image by Author   In today's world, we're constantly generating information, yet much of it arises in unstructured formats.  This includes the vast array of content on social media, as well as countless PDFs and Word documents stored across organizational networks.  Getting insights and value from these unstructured sources, whether they be text documents,…

Image by rawpixel.com on Freepik   Did you know that around 99.5% of data collected by enterprises goes untouched? In fact, it never even gets used or analyzed. This shows a huge gap that can only be bridged by an advanced enterprise search platform. Over the past few years, the search tapestry has changed…

Promotional Content     On a daily basis data teams and product managers wrangle the modern data stack in an effort to seamlessly integrate diverse data sources and tools into a cohesive, versatile, and future-proof architecture that end users can easily use.. This is where the semantic layer steps in – an essential middleware…